Yuan Tian is an Assistant Professor of Electrical and Computer Engineering and of the Institute of Law, Technology, and Public Policy at University of California, Los Angeles. Before joining UCLA, She was an Assistant Professor of Computer Science at University of Virginia, and she obtained her Ph.D from Carnegie Mellon University in 2017, and interned at Microsoft Research, Facebook, and Samsung Research. Her research interests involve security and privacy and its interactions with computer systems, machine learning, and human-computer interaction. Her current research focuses on developing new technologies for protecting user privacy, particularly in the areas of the Internet of Things and machine learning. Her work has generated real-world impact as countermeasures and design changes have been integrated into popular platforms, and also impacted the security recommendations of standard organizations. She is a recipient of Okawa Foundation Award 2022, Google Research Scholar Award 2021, Facebook Faculty Award 2021, NSF CAREER Award 2020, NSF CRII award 2019, Amazon AI Faculty Fellowship 2019. Her research has appeared in top-tier venues in Security, and System. Her projects have been covered by media outlets such as IEEE Spectrum, Forbes, Fortune, Wired, and Telegraph.